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Paper Citation Record · LEDGER

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis

As of 15 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2604.11927.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.11927 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:36:15.355352Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

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  • verified fuzzy10
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 256775e7-ab3f-4f5f-8a74-9edde5bd822e · outbound

This paper cites It provides quasi three-dimensional (3D) breast tissue characterization and can improve lesion detection compared with conventional 2D mammography [1], [2].

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis It provides quasi three-dimensional (3D) breast tissue characterization and can improve lesion detection compared with conventional 2D mammography [1], [2]

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.346818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 211eb909-f3d0-4c4c-ac02-5384d3a50deb · outbound

This paper cites for-presentation.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis for-presentation

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.355159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5a15960f-a135-4766-a2d0-c8f80fc3154b · outbound

This paper cites The user imports the complete DBT series through the GUI, which automatically displays the central slice for initial interaction (Fig.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis The user imports the complete DBT series through the GUI, which automatically displays the central slice for initial interaction (Fig

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c11e3bed-4cd3-4689-b579-732cca7c006c · outbound

This paper cites Using a polygon-drawing tool, the user delineates the fibroglandular area on the central slice (Fig.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Using a polygon-drawing tool, the user delineates the fibroglandular area on the central slice (Fig

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.349845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e0884078-9399-40a6-86b3-58b3fe1a4126 · outbound

This paper cites The pixel values in each slice are normalized to a [0-1] range to ensure consistent thresholding across the stack in the subsequent steps.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis The pixel values in each slice are normalized to a [0-1] range to ensure consistent thresholding across the stack in the subsequent steps

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.352820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8f4b25c8-6bcf-452d-8645-13015bab1fd3 · outbound

This paper cites Within the GUI (Fig.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Within the GUI (Fig

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.339815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 59bab687-ee57-4c17-8be1-619dd279e49c · outbound

This paper cites ground truth.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis ground truth

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.334383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0acc737b-52fa-4f72-bc4f-870c53c2079c · outbound

This paper cites Effectiveness of Digital Breast Tomosynthesis Compared With Digital Mammography: Outcomes Analysis From 3 Years of Breast Cancer Screening.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Effectiveness of Digital Breast Tomosynthesis Compared With Digital Mammography: Outcomes Analysis From 3 Years of Breast Cancer Screening

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:25:52.631880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7502fffd-94e2-42a1-9b4a-12a9169cfa4e · outbound

This paper cites Association of Digital Breast Tomosynthesis vs Digital Mammography With Cancer Detection and Recall Rates by Age and Breast Density.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Association of Digital Breast Tomosynthesis vs Digital Mammography With Cancer Detection and Recall Rates by Age and Breast Density

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:25:52.609306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dd4e3b5f-6982-4882-8e26-fdbbb7dba632 · outbound

This paper cites Mammographic Density and the Risk and Detection of Breast Cancer | New England Journal of Medicine.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Mammographic Density and the Risk and Detection of Breast Cancer | New England Journal of Medicine

Reference 10

Resolution
verified exact
doi, observed 2026-05-10T21:25:52.616326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cf5c1c4e-73a6-4f7f-bbfc-a4316d5ca5ce · outbound

This paper cites Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model

Reference 11

Resolution
verified exact
doi, observed 2026-05-10T21:25:52.628106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6bc23766-f0c0-4f0a-8590-c52fb3a04f81 · outbound

This paper cites BREAST-CANCER-SCREENING-DBT.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis BREAST-CANCER-SCREENING-DBT

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.361534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4615fc2c-7b19-4b91-9fc8-79964a0a1d08 · outbound

This paper cites 06.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis 06

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:30:57.373054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4ede5a6f-a8d8-420b-a2d2-6d832d6df782 · outbound

This paper cites Adaptive thresholding technique for segmenting breast dense tissue in digital breast tomosynthesis: a preliminary study.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Adaptive thresholding technique for segmenting breast dense tissue in digital breast tomosynthesis: a preliminary study

Reference 14

Resolution
verified exact
doi, observed 2026-05-10T21:25:52.618935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 63ac1fb1-2457-4c79-8b02-2c84a1c2b493 · outbound

This paper cites Franç a, V-kr0pt/density_segmentation_gui.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Franç a, V-kr0pt/density_segmentation_gui

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.357918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 37637839-e4f1-4fa4-bca1-8382be49feed · outbound

This paper cites Available: https://github.com/V-kr0pt/density_segmentation_gui.

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis Available: https://github.com/V-kr0pt/density_segmentation_gui

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.337097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.